# GPT Image Generator

> Use this tool when you need to generate or edit images directly within an AI assistant conversation, and want to create visual content from text prompts or modify existing images. It solves problems in creative workflows, design iterations, and visual content creation by providing a seamless image generation and editing experience. The tool takes text prompts or image files as inputs and produces generated or edited images as outputs, making it ideal for users who require efficient and integrated visual content creation capabilities.

Canonical page: https://skillsregistry.net/skills/cloudwerxlab-gpt-image-1  
JSON: https://api.skillsregistry.net/v1/skills/cloudwerxlab-gpt-image-1

## Description

The GPT-Image-1 MCP server provides AI assistants with direct access to OpenAI's gpt-image-1 model for image generation and editing. Developed by CLOUDWERX, this TypeScript implementation exposes two primary tools: create_image for generating new images from text prompts, and create_image_edit for modifying existing images. The server handles all OpenAI API interactions, supports file paths or base64 encoded images as inputs, saves generated images to a configurable output directory, and provides detailed responses with token usage statistics. It's particularly valuable for users who need to generate or edit images without leaving their AI assistant conversation context, making it ideal for creative workflows, design iterations, and visual content creation.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cloudwerxlab-gpt-image-1)
- **Repository:** <https://github.com/cloudwerx-dev/gpt-image-1-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cloudwerxlab-gpt-image-1"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cloudwerxlab-gpt-image-1` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cloudwerxlab-gpt-image-1/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt